Metadata-Version: 2.1
Name: pygeoogc
Version: 0.1.2
Summary: An interface to web services based on ArcGIS RESTful, WFS, and WMS.
Home-page: https://github.com/cheginit/pygeoogc
Author: Taher Chegini
Author-email: cheginit@gmail.com
License: MIT license
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        Features
        --------
        
        PyGeoOGC is a part of `Hydrodata <https://github.com/cheginit/hydrodata>`__ software stack
        and provides interfaces to web services that are based on
        `ArcGIS RESTful <https://en.wikipedia.org/wiki/Representational_state_transfer>`__,
        `WMS <https://en.wikipedia.org/wiki/Web_Map_Service>`__, and
        `WFS <https://en.wikipedia.org/wiki/Web_Feature_Service>`__.
        
        You can try using PyGeoOGC without installing it on you system by clicking on the binder badge
        below the PyGeoOGC banner. A Jupyter notebook instance with Hydrodata
        pre-installed will be launched in your web browser and you can start coding!
        
        Moreover, requests for addiitonal functionalities can be submitted via
        `issue tracker <https://github.com/cheginit/pygeoogc/issues>`__.
        
        
        Installation
        ------------
        
        You can install PyGeoOGC using ``pip``:
        
        .. code-block:: console
        
            $ pip install pygeoogc
        
        Quickstart
        ----------
        
        We can access
        `Watershed Boundary Dataset <https://hydro.nationalmap.gov/arcgis/rest/services/wbd/MapServer>`__
        via RESTful service,
        `National Wetlands Inventory <https://www.fws.gov/wetlands/>`__ from WMS, and
        `FEMA National Flood Hazard <https://www.fema.gov/national-flood-hazard-layer-nfhl>`__
        via WFS. The output for these functions are of type ``requests.Response`` that
        can be converted to ``GeoDataFrame`` or ``xarray.Dataset`` using Hydrodata.
        
        .. code-block:: python
        
            from pygeoogc import ArcGISREST, WFS, wms_bybox, MatchCRS
            from hydrodata import NLDI, utils
        
            basin_geom = NLDI().getfeature_byid(
                "nwissite",
                "USGS-11092450",
                basin=True
            ).geometry[0]
        
            rest_url = "https://hydro.nationalmap.gov/arcgis/rest/services/wbd/MapServer/4"
            wbd8 = ArcGISRESTful(rest_url)
            wbd8.get_featureids(basin_geom)
            resp = wbd8.get_features()
            huc8 = utils.json_togeodf(resp[0])
            huc8 = huc8.append([utils.json_togeodf(r) for r in resp[1:]])
        
            url_wms = "https://www.fws.gov/wetlands/arcgis/services/Wetlands_Raster/ImageServer/WMSServer"
            layer = "0"
            r_dict = wms_bybox(
                url_wms,
                layer,
                basin_geom.bounds,
                1e3,
                "image/tiff",
                box_crs="epsg:4326",
                crs="epsg:3857",
            )
            geom = MatchCRS.geometry(basin_geom, "epsg:4326", "epsg:3857")
            wetlands = utils.wms_toxarray(r_dict, geom, "epsg:3857")
        
            url_wfs = "https://hazards.fema.gov/gis/nfhl/services/public/NFHL/MapServer/WFSServer"
            wfs = WFS(
                url_wfs,
                layer="public_NFHL:Base_Flood_Elevations",
                outformat="esrigeojson",
                crs="epsg:4269",
            )
            r = wfs.getfeature_bybox(basin_geom.bounds, box_crs="epsg:4326")
            flood = utils.json_togeodf(r.json(), "epsg:4269", "epsg:4326")
        
        Contributing
        ------------
        
        Contirbutions are very welcomed. Please read
        `CODE_OF_CONDUCT.rst <https://github.com/cheginit/pygeoogc/blob/master/CODE_OF_CONDUCT.rst>`__
        and
        `CONTRIBUTING.rst <https://github.com/cheginit/pygeoogc/blob/master/CONTRIBUTING.rst>`__
        file for instructions.
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.6
Description-Content-Type: text/x-rst
